Extension classification based knowledge mining complex product configuration design performance
|School||Zhejiang University of Technology|
|Course||Mechanical Design and Theory|
|Keywords||Performance Configuration model CBR Similarity Extension classification knowledge mining|
Product configuration design for mass customization as a core technology to achieve fast customization of personalized products , has become a modern enterprises to participate in the fierce market competition, an important and effective way. Based on the comprehensive review of existing methods and abroad on the basis of the integrated use of extension logic , reasoning , classification mining , research product configuration design intent and performance during the conflict between the old structure of the problem , and explore a formal intelligent design method for solving product configuration design theory research and engineering application bottlenecks, has important theoretical significance and application value. 1 product configuration model for the configuration hierarchy of knowledge representation and breadth , proposes extenics primitive and composite element as a tool to analyze components between any two constraint types , the formal establishment of product design examples model and configuration reasoning model , which extended its proper scope ; 2 . proposed reasoning with examples auxiliary product performance configuration design, analysis, case-based reasoning in the interval and the fundamental nature of similarity is established based on improved distance interval and similarity calculation model that point and interval , the dots corresponding similarity is a special case of the former , and compared with other methods . The results showed a high degree of distinction of the Act , and to meet the basic nature of similarity , applies more broadly , can effectively deal with uncertain and ambiguous customer performance intent ; 3 . Proposed initial retrieval process in the product , the application of the extension classification mining methods to extract static design knowledge . In the product configuration process, first through the divergence analysis form the basis of conversion library , and then transform operator transform existing structures to operate and control the changes of direction and goals to make the same direction, and then to calculate the combined effect of the transformation can be transformed operability , and finally extracting dynamic, qualitative or quantitative design knowledge ; 4 . Finally, the new configuration chainsaw engine and front handle for simulation, experiment and experience show that its calculations are consistent trends and develop the prototype system to verify the feasibility of the proposed method , the initial realization of the product performance configuration design of intelligent solving contradictory problems .